Fostering Creativity and Innovation in Design: Strategies for Success
Boost Labs Blog - Insights and Trends in Data Visualization
by Kevin Ingalls
1y ago
For businesses to stay ahead of the curve, the ability to quickly and effectively implement new ideas is crucial. This has been a core component to how we operate since 2009, and here are some of the ways we have met that challenge in the fast-paced world of digital product development. You may find some examples here to help your team unlock their full potential and drive real results. Encourage Collaboration and Communication Collaboration and communication are critical components of successful design innovation. When team members work together and share their ideas openly, they are more ..read more
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Unlocking the Secrets of the 1%: How to Get Value from Data
Boost Labs Blog - Insights and Trends in Data Visualization
by Kevin Ingalls
1y ago
  Data is everywhere, and it’s growing at an unprecedented rate. In fact, experts say that we create around 120 zettabytes (120 billion terabytes) of data each day. But not all data is created equal. In fact, only about 1% of the data we collect is actually useful for decision making. So how do you get value from the 1% of your data that is actionable? In this blog, we’ll dive into the steps that digital product owners, data analysts, data visualization designers, heads of innovation, and CEOs can take to harness the power of data and transform their businesses. 1. Identify What Matter ..read more
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Learn to pivot from your vision to your users’ needs
Boost Labs Blog - Insights and Trends in Data Visualization
by Kevin Ingalls
1y ago
  Product innovations don’t appear out of the clear blue sky without an innovator like you having a great idea and then the conviction to execute on that idea. This causes us to get caught up in our own vision for our product or service. It’s very difficult to pivot from nurturing your own product idea into catering to your users’ needs and desires, no matter how many times you hear that users come first. This means knowing when and how to transition from your own head and into your users’ heads. With this, comes accepting an appetite for disregarding some of your own thoughts and opin ..read more
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How to Make Your Data Analytics Work for You and Your Audience
Boost Labs Blog - Insights and Trends in Data Visualization
by Kevin Ingalls
1y ago
  As a digital product owner, you are always looking for ways to improve your product. You want to make sure that your product is easy to use, has a great design, and is packed with features that your users will love. But what about the data that powers your product?    Are you making the most of your data analytics? Is your audience able to take action on this data? And more importantly, are you matching your data analytics or embedded analytics with the cognitive expectations of your audience? Let’s take a look at how to do just that! What are Cognitive Expectations? Cogniti ..read more
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10 Limitations of Visual Outputs from DALL-E and Similar AI Generative Models
Boost Labs Blog - Insights and Trends in Data Visualization
by Kevin Ingalls
2y ago
  DALL-E is a state-of-the-art generative model developed by OpenAI that can generate diverse and novel images from textual descriptions. However, it is not without limitations. Here are some of the limitations that are common to DALL-E and similar generative models: Limited Understanding of Context Generative models struggle to understand the contextual relationships between objects in an image. This can result in unnatural or unrealistic image outputs. Complex Textual Descriptions Required Generative models require a specific and detailed textual description in order to generate an ..read more
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Common Logical Fallacies to Avoid With Your Data
Boost Labs Blog - Insights and Trends in Data Visualization
by Kevin Ingalls
2y ago
  As digital product owners and data analysts alike, it’s our responsibility to understand and avoid common data fallacies that lead to faulty assumptions, inaccurate conclusions, and even bad decision-making. Let’s take a look at some of these fallacies so we can all make more informed decisions based on trustworthy data. The Base Rate Fallacy The base rate fallacy refers to the tendency for people to overlook the overall picture in favor of focusing on details. This is a consequence of overconfidence bias, which is when individuals overly rely on their past experiences and underestim ..read more
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Why Every Digital Product Needs A Roadmap
Boost Labs Blog - Insights and Trends in Data Visualization
by blstagingstg
2y ago
  A roadmap is an invaluable tool to help ensure the success of any digital product development. A less experienced team may only see the tip of the iceberg: the 10% of the work and collaboration that they can easily imagine. As an experienced product manager, you know that it’s the 90% that is beneath the surface that will make or break your product launch. That’s why every successful digital product launch starts with a visual roadmap. A comprehensive roadmap will always include clear definitions of each stage of development, critical milestones, key deliverables for each milestone, an ..read more
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When To Outsource Development & When To Keep It In-House
Boost Labs Blog - Insights and Trends in Data Visualization
by blstagingstg
2y ago
We’re a digital development company, with an experienced team of developers and designers who build digital products and help you tell your story with your data. But that doesn’t mean that we’re always the right fit for companies who need digital product development. Our team came together to write up a list of when to outsource digital development – and when it’s better to keep digital development in-house. There are some well-known, proven benefits to outsourcing digital development:   1. Speed to market. If you want to get a strong, polished product to market fast – and capitalize on t ..read more
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How To Know When Your Digital Product Is Ready To Launch
Boost Labs Blog - Insights and Trends in Data Visualization
by blstagingstg
2y ago
The question we’re always asked: how do we know when a digital product is ready to push to the next phase – or launch? It’s tricky. To make it easier, we break down the process of launching a digital product into four key phases: proof of concept, prototype, pilot, and MVP or minimum viable product (see more about that here: Defining The Critical Path: The Stages Of Creating A Digital Product). At each step of the process, we ask these critical questions: End-to-end solutionIs the digital product an end-to end-solution? In other words, can a user successfully log in, complete a task, get the ..read more
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Defining The Critical Path: The Stages Of Creating A Digital Product
Boost Labs Blog - Insights and Trends in Data Visualization
by blstagingstg
2y ago
It’s not the first time you’ve built a digital product. You know just how hard the process is – and how likely it is that an application might fail to meet expectations or attract users. The key is to force small, iterative releases and get into the hands of customers to start gathering feedback early. Let go of the fear associated with receiving critical feedback; it’s a mandatory ingredient for success. Let’s start with defining the process to launch a digital product. The graphic above shows the key early stages of product development. The x axis is the progression from idea to reality, and ..read more
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